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Development of a fast method for retrieving thermodynamic properties to accelerate transient vapor compression cycle simulation.

Number: pap. 2620

Author(s) : MA J., KIM D., BRAUN J. E.

Summary

The most significant computational requirements for simulating vapor compression system models are associated with evaluation of thermodynamic properties. Reducing the computation time is particularly important for transient models because a number of properties and derivatives of properties need to be evaluated at each simulation time step. The typical approach for evaluating thermodynamic properties involves the use of complicated equations of state (EOS), which are utilized in standard software tools like RefProp and CoolProp. Overall computation speed can be significantly enhanced using fast property evaluation methods. This paper presents an improved method to quickly and accurately retrieve refrigerant properties which combines thermodynamic property relations, classical regression methods, and artificial neural networks (ANNs) in order to obtain simpler model structures. Since the proposed approach has an explicit functional form, it is able to avoid the computation time to find nearest points in a thermodynamic database. Speed and accuracy comparisons between the proposed method, RefProp, CoolProp, and popular interpolation schemes are provided for a wide range of pressures and enthalpies. Then, performance comparisons between the proposed and baseline methods for a transient heat exchanger simulation are provided.

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Pages: 8

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Details

  • Original title: Development of a fast method for retrieving thermodynamic properties to accelerate transient vapor compression cycle simulation.
  • Record ID : 30024693
  • Languages: English
  • Source: 2018 Purdue Conferences. 17th International Refrigeration and Air-Conditioning Conference at Purdue.
  • Publication date: 2018/07/09

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